Research on Ranging Optimization and Twice-Weighted Centroid Calculation in Wireless Sensor Network Localization Algorithm
نویسندگان
چکیده
In practical applications of ranging technology commonly used in wireless sensor positioning algorithm, ranging between nodes will inevitably produce errors due to environmental factors and measurement hardware effects. The wireless sensor network localization algorithm DGC-TWCL proposed in this paper takes advantage of the Cayley-Menger determinant used to provide distance geometry constraints(DGC) in two-dimensional real space to optimize and correct the ranging error, combined with the twice-weighted centroid localization(TWCL) calculation, the final position of the unknown node can be obtained. The experiment results show that the algorithm can get the positioning results with higher accuracy and better robustness.
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